Literature Addressing the Structural and Systemic Factors Contributing to Homelessness in Canada
Bibliographic record
Abstract
Guide for the Selected Annotated Bibliography This Guide provides a quick referencing tool for the annotated bibliography. It is divided into the following broad categories: Studies related to defining and counting the homeless, and shelter use; Studies related to specific demographic groups and/or geographic areas; Studies addressing specific issue areas related to homelessness (ie. health, economy, housing, family & social integration, political). These three areas are further divided by particular issue areas. Below each issue area is a list of numbers corresponding to an individual identification number for each reference in the annotated bibliography. For example, if you are interested in examining studies relating to the issue area of “Criminal Justice Canadian Council on Social Development- March 2001Literature Addressing the Structural and Systemic Factors Contributing to Homelessness in Canada System/Criminal Activity ” and homelessness you simply need to look at the bibliographic reference numbers 48; 26; 53; 77. Further issue area information about particular references can be obtained by observing the keywords associated with each reference. The annotated bibliography includes English language material covering the 1990’s and 2000/2001. Although comprehensive, the bibliography is certainly not exhaustive and as such the authors recognize that particular references may have been omitted. In addition, due to limited time, an extensive search of French bibliographical references was not undertaken. A list of references was, however, forwarded to CCSD by one of the members of the Expert Advisory Group and is included at the back of the bibliography.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.075 | 0.136 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.057 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".